Publication:
Employing artificial intelligence techniques in Mental Health Diagnostic Expert System

dc.citedby25
dc.contributor.authorMasri R.Y.en_US
dc.contributor.authorMat Jani H.en_US
dc.contributor.authorid25825324000en_US
dc.contributor.authorid13609136000en_US
dc.date.accessioned2023-12-29T07:45:54Z
dc.date.available2023-12-29T07:45:54Z
dc.date.issued2012
dc.description.abstractThe Mental Health Diagnostic Expert System (MeHDES) is proposed to assist the Malaysian psychology industry in diagnosing and treating their mental patients, and also to allow each mental patient to have several options on selecting a treatment plan that fits their budget without jeopardizing their overall health conditions. MeHDES will be using three artificial intelligence (AI) reasoning techniques: rule-based reasoning, fuzzy logic, and fuzzy-genetic algorithm (fuzzy-GA). The human experts' knowledge in the area of mental health and disorders will be transformed and encoded into a knowledge base using the rule-based reasoning technique; fuzzy logic then allows the severity level of a particular disorder to be measured; and fuzzy-GA will be used to determine and propose the suitable treatment for each of the mental patients based on their budget and their overall health conditions. � 2012 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo6297296
dc.identifier.doi10.1109/ICCISci.2012.6297296
dc.identifier.epage499
dc.identifier.scopus2-s2.0-84867919605
dc.identifier.spage495
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84867919605&doi=10.1109%2fICCISci.2012.6297296&partnerID=40&md5=7cfc82df3d7622aaca31e275ce8437d2
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30250
dc.identifier.volume1
dc.pagecount4
dc.sourceScopus
dc.sourcetitle2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings
dc.subjectexpert system
dc.subjectfuzzy logic
dc.subjectfuzzy-genetic algorithm
dc.subjectrule-based reasoning
dc.subjectArtificial intelligence
dc.subjectBudget control
dc.subjectFuzzy logic
dc.subjectHealth
dc.subjectInformation science
dc.subjectPatient treatment
dc.subjectTechnology
dc.subjectArtificial intelligence techniques
dc.subjectDiagnostic expert system
dc.subjectFuzzy genetic algorithms
dc.subjectHealth condition
dc.subjectHuman expert
dc.subjectKnowledge base
dc.subjectMalaysians
dc.subjectMental health
dc.subjectReasoning techniques
dc.subjectRule based reasoning
dc.subjectTreatment plans
dc.subjectExpert systems
dc.titleEmploying artificial intelligence techniques in Mental Health Diagnostic Expert Systemen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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